Software Engineer - AI

Atarus
Greater London, UK
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Artificial Intelligence Amazon Web Services Ubuntu (Operating System) Cloud Engineering Continuous Integration DevOps Elasticsearch Github Python (Programming Language) Pair Programming TypeScript
+11 more
Cloud Platform System Test-Driven Development (TDD) Large Language Models Cypress (Programming Language) Generative AI Pytest Kubernetes AWS Fargate React Testing Library Terraform Docker

Job description

Software Engineer - AI - London / Hybrid (UK-based)

A high-growth, FinTech company is building intelligent, data-driven products to support businesses and consumers at scale across the UK and US. The organisation operates cloud-native platforms used by a large and diverse customer base and is continuing to invest heavily in AI-enabled capabilities across its core products.

Role ?

This role sits within a product-led engineering team focused on applying AI and Generative AI to real-world business problems. You’ll work on large-scale systems where impact is measured by outcomes, not output.

You will:

  • Design and engineer large-scale, production-grade systems (5+ years’ experience)
  • Focus on business impact rather than lines of code
  • Embrace DevOps culture: you build it, you run it
  • Work effectively in cross-functional, autonomous teams
  • Mentor other engineers and help raise the bar across the team
  • Prefer simple, pragmatic solutions over unnecessary complexity
  • Stay effective and organised in fast-moving, ambiguous environments
  • Think broadly about how technical decisions affect the wider business
  • Leverage Generative AI tools to improve productivity and decision-making

Nice-to-Have Skills ?

  • Experience building AI or LLM-powered applications
  • Knowledge of NLP or intelligent document processing
  • Familiarity with vector databases (e.g. Pinecone, Weaviate)
  • Experience with search platforms (e.g. OpenSearch, Elasticsearch)
  • Exposure to agentic workflows or orchestration frameworks
  • Awareness of MCP (Model Context Protocol)

The team is pragmatic and cloud-native. Current tooling includes:

  • Languages: Python, TypeScript
  • Testing: Jest, React Testing Library, Cypress, pytest
  • Cloud: AWS, GCP
  • Infrastructure: Docker, ECS Fargate, Terraform
  • CI/CD: GitHub Actions
  • Collaborate: Pair programming and mission-driven squads
  • Outcome-focused: Solve real user problems tied to business results
  • Continuously improve: Fast feedback, learning-first mindset
  • User-centric: Decisions driven by data and direct user insight
  • Test-first: Outside-in testing with behaviour-focused scenarios
  • End-to-end ownership: Lead features from idea to production
  • Cloud-native: Automation-first, security by design

You’ll be part of an inclusive engineering culture that values:

  • Diverse perspectives and open discussion
  • Psychological safety and trust
  • Teams that are engaged, motivated, and genuinely enjoy working together

What’s on Offer ?

  • Hybrid working: Flexible, trust-based approach with optional in-person collaboration
  • Work-life balance: 25 days holiday + bank holidays, enhanced family leave
  • Compensation: Competitive salary plus equity
  • Equipment: High-spec laptop (macOS or Ubuntu)
  • Socials: Regular team and company events
  • Benefits: Cycle-to-work scheme and EV support

Requirements

  • Design and engineer large-scale, production-grade systems (5+ years’ experience)
  • Focus on business impact rather than lines of code
  • Embrace DevOps culture: you build it, you run it
  • Work effectively in cross-functional, autonomous teams
  • Mentor other engineers and help raise the bar across the team
  • Prefer simple, pragmatic solutions over unnecessary complexity
  • Stay effective and organised in fast-moving, ambiguous environments
  • Think broadly about how technical decisions affect the wider business
  • Leverage Generative AI tools to improve productivity and decision-making

Nice-to-Have Skills ?

  • Experience building AI or LLM-powered applications
  • Knowledge of NLP or intelligent document processing
  • Familiarity with vector databases (e.g. Pinecone, Weaviate)
  • Experience with search platforms (e.g. OpenSearch, Elasticsearch)
  • Exposure to agentic workflows or orchestration frameworks
  • Awareness of MCP (Model Context Protocol)

Benefits & conditions

  • Hybrid working: Flexible, trust-based approach with optional in-person collaboration
  • Work-life balance: 25 days holiday + bank holidays, enhanced family leave
  • Compensation: Competitive salary plus equity
  • Equipment: High-spec laptop (macOS or Ubuntu)
  • Socials: Regular team and company events
  • Benefits: Cycle-to-work scheme and EV support

About the company

A high-growth, FinTech company is building intelligent, data-driven products to support businesses and consumers at scale across the UK and US. The organisation operates cloud-native platforms used by a large and diverse customer base and is continuing to invest heavily in AI-enabled capabilities across its core products.

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